Exploring daily wind data using the Meteostat
Group Members: Travis, Ira, Micah
Course: Data Science
Goal: Explore and compare wind trends in distinct U.S. regions
Source: Meteostat Python API
Dataset Type: Aggregated weather observations per station
wspd: Average wind speed (mph)wdir: Mean wind direction (degrees)tavg: Average air temperature (°F)Time Period: 2024
Locations: ~30
Frame: Hourly and Daily
Units: Metric (mph, degrees, °F)
#Start of Data ::: {.panel-tabset}
R²: 0.620057846963885
RMSE: 54.6469878681952| Regional Wind Analysis by Speed and Direction | ||||
| Hourly Averages 2024 | Data: Meteostat | ||||
| latitude | longitude | Wind Statistics | ||
|---|---|---|---|---|
| Speed (mph) | Direction (°) | |||
| Midwest | ||||
| Cleveland, OH | 41.4993 | -81.6944 | 40.1 | 227.0 |
| Chicago, IL | 41.8781 | -87.6298 | 35.4 | 259.0 |
| Detroit, MI | 42.3314 | -83.0458 | 34.8 | 248.0 |
| Milwaukee, WI | 43.0389 | -87.9065 | 33.9 | 297.0 |
| Minneapolis, MN | 44.9778 | -93.265 | 28.2 | 307.0 |
| Northeast | ||||
| Buffalo, NY | 42.8864 | -78.8784 | 46.0 | 243.0 |
| Boston, MA | 42.3601 | -71.0589 | 38.2 | 278.0 |
| Philadelphia, PA | 39.9526 | -75.1652 | 31.0 | 297.0 |
| Pittsburgh, PA | 40.4406 | -79.9959 | 25.3 | 299.0 |
| New York, NY | 40.7128 | -74.006 | 23.8 | 300.0 |
| Southeast | ||||
| Jacksonville, FL | 30.3322 | -81.6557 | 32.5 | 81.0 |
| Miami, FL | 25.7617 | -80.1918 | 29.4 | 81.0 |
| Tampa, FL | 27.9506 | -82.4572 | 26.0 | 49.0 |
| Charlotte, NC | 35.2271 | -80.8431 | 22.7 | 319.0 |
| Atlanta, GA | 33.749 | -84.388 | 17.8 | 357.0 |
| West | ||||
| Denver, CO | 39.7392 | -104.9903 | 30.2 | 180.0 |
| San Francisco, CA | 37.7749 | -122.4194 | 29.9 | 294.0 |
| Los Angeles, CA | 34.0522 | -118.2437 | 24.6 | 208.0 |
| Portland, OR | 45.5152 | -122.6784 | 24.4 | 333.0 |
| Seattle, WA | 47.6062 | -122.3321 | 18.6 | 191.0 |
| Legend: 🔵North 🔴East 🟡South 🟢West | Darker = Stronger | ||||
DataTransformerRegistry.enable('json')click points on the map to see the 2024 wind speeds for a given city. (Shift + click to select multiple cities to compare).
click points on the map to see the wind speeds for the week surrounding a tornado (Shift+ click to select multiple tornados to compare).
the catagories are based on the Enhanced Fujita (EF) Scale: EF0 (65-85 mph), EF1 (86-110 mph), EF2 (111-135 mph), EF3 (136-165 mph), EF4 (166-200 mph), and EF5 (>200 mph). Our data visualizations does not seem exactly match with what we would expect to see. We Suspect the reasons for this may include the following: Tornados are categorized by peak wind speed rather than average wind speed; The wind speed is the wind speed at the closest weather station and the distance between stations and tornados can vary greatly; Tornados radius can vary greatly.
How do wind patterns change by region?
What are some case studies of extreme weather?
How do geographical features (lakes, oceans, mountains, deserts, plains) impact wind patterns?